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cs.CV2025
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
Jian Lan, Zhicheng Liu, Udo Schlegel +5
Large vision-language models (VLMs) achieve strong performance in Visual Question Answering but still rely heavily on supervised fine-tuning (SFT) with massive labeled datasets, wh…
cs.CV2021
Improving Scene Graph Classification by Exploiting Knowledge from Texts
Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt +2
Training scene graph classification models requires a large amount of annotated image data. Meanwhile, scene graphs represent relational knowledge that can be modeled with symbolic…